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. 2018 Sep 11;9:737. doi: 10.3389/fneur.2018.00737

Figure 1.

Figure 1

Starting with the MRI imaging data lesion delineations were generated either manually or automatically. The former was used for proof of concept and the latter to show the proposed clinical implementation. The lesion delineations were then dichotomized into successful and unsuccessful revascularization groups according to the patient's TICI scores. Image normalization was performed in a next step to make them conform to MNI152 space. With that, the lesion delineations were superimposed onto the structural atlas and lesion loads for every region computed. Finally, the lesion loads were correlated with the 3 month mRS and NIHSS scores.